ZipRecruiter

Log In

1

Computer Science Finance Jobs (NOW HIRING)

Sju

Adjunct, Computer Science

Philadelphia, PA

Adjunct, Computer Science Time Type: Part time Position Summary and Qualifications: Saint Joseph ... If an employee must relocate to meet these conditions, financial assistance may be available but is ...

Eastern University

Adjunct - Computer Science

PA · On-site

... of Computer Science. This position can be on-ground synchronous or online synchronous. This ... the university finances or alumni funds only), verification of education and professional ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX · On-site

$184K - $277K/yr

... computer science, data science, math, quantitative finance, or similar discipline) with five years experience Previous experience working in a corporate finance, accounting, or supply chain ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX · On-site

$184K - $277K/yr

... computer science, data science, math, quantitative finance, or similar discipline) with five years experience Previous experience working in a corporate finance, accounting, or supply chain ...

Apple

Finance Machine Learning Engineer - Tech Lead

Austin, TX · On-site

$101K - $133K/yr

... computer science, data science, math, quantitative finance, or similar discipline) Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline ...

next page

Showing results 1-20

All JobsScience JobsComputer Science Finance Jobs

Computer Science Finance information

See salary details

$25K

$92.6K

$135.5K

How much do computer science finance jobs pay per year?

As of Sep 8, 2026, the average yearly pay for computer science finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

What are finance jobs for computer science majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

What are the key skills and qualifications needed to thrive in Computer Science Finance, and why are they important?

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

Can computer science work in finance?

Computer science professionals can work in finance by developing algorithms, managing data systems, and creating financial models. Skills in programming, data analysis, and knowledge of financial concepts are essential for roles such as quantitative analyst, financial software developer, or risk analyst.
More about Computer Science Finance jobs

What cities are hiring for Computer Science Finance jobs?

Cities with the most Computer Science Finance job openings:

What states have the most Computer Science Finance jobs?

States with the most job openings for Computer Science Finance jobs include:

What job categories do people searching Computer Science Finance jobs look for?

The top searched job categories for Computer Science Finance jobs are:

Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,631 per year, or $44.5 per hour.

FT Faculty in Computer Science

Gwynedd Mercy University

Ambler, PA • On-site

Full-time

Re-posted 7 days ago

Job description

DESCRIPTION    

The College of Arts, Sciences, and Professional Studies at Gwynedd Mercy University invites applications for a faculty position in the Computer Science Program. The College seeks a highly qualified and innovative educator with a demonstrated commitment to a hands-on, student-centered teaching philosophy and excellence in undergraduate instruction.

The successful candidate will be responsible for teaching core undergraduate courses such as networking, relational databases, and web design, in addition to courses that support the department’s academic concentrations in cybersecurity and computer forensics, artificial intelligence and machine learning, and web design and multimedia, as well as a minor in data analytics. Instruction will include programming languages and technologies such as Python, C++, R, SQL, HTML, and CSS. The faculty member will be expected to design and implement engaging, experiential learning opportunities through laboratory instruction, applied projects, and real-world applications, while continuously revising and enhancing course materials to reflect current industry standards, practices, and emerging technologies. The candidate should demonstrate the ability to integrate modern tools and innovative andragogical approaches into the curriculum, remain current with advancements in the field, and contribute to student success and program development.

Key Responsibilities:

•    Teach undergraduate computer science courses.

•    Collaborate with the Computer Science Program Director to strengthen recruitment and retention efforts, develop and revise curriculum, and contribute to continual assessment and improvement.

•    Advise students.

•    Mentor students in undergraduate research projects.

POSITION REQUIREMENTS AND EXPECTATIONS   

•    Minimum of a master’s degree in computer science, cybersecurity, artificial intelligence, or related field.

•    Relevant professional or industry experience in computer science or a related field is strongly preferred, particularly in areas aligned with cybersecurity, artificial intelligence, machine learning, data analytics, or software development. 

•    Strong verbal and written communication skills.

•    Demonstrated commitment to teaching excellence and strong learning outcomes.

•    Ability to contribute meaningfully to the continued growth of the program, particularly through ongoing curricular development and revision.

•    Experience and facility with industry technologies, certificates, and certifications.

•    Demonstrated ability to collaborate on multidisciplinary projects.

•    Experience with on-ground, hybrid, and online teaching modalities. 

•    Experience with Canvas or other LMS.

•    Multilingual skills are preferred.


EOE STATEMENT:  Gwynedd Mercy University is committed to maintaining a positive learning, working, and living environment that is free from unlawful discrimination and harassment. Gwynedd Mercy University does not discriminate against any applicant for admission to or employment at the University because of race, religion, age, gender, sexual orientation, gender identity, national origin, disability, color, marital status, veteran status, genetic characteristics, or any other characteristic protected by federal, state or local law (“Protected Classes”). This includes, but is not limited to, admissions, financial aid, educational services, and student programs and activities, as well as to all terms and conditions of employment including, but not limited to, recruitment, selection, hiring, placement, transfer, promotion, training, compensation, benefits, discipline, and termination. The University will not tolerate unlawful acts of discrimination or harassment based upon Protected Classes, or related retaliation against or by any employee or student.